Lending

3 Things “Game Changing” Mortgage Companies Focus On

5 mins read
March 8, 2017
By
Total Expert

The mortgage and real estate industry has been flipped on its head with the launch of “Rocket Mortgage” and other similar technology initiatives. These platforms focus on removing the friction from the traditionally high touch business of buying and financing a home. As the pace of change continues to accelerate, the stakes have never been higher. For the companies that execute and adopt changing technology, market dominance and a future paved with the largest pool of home buyers in American history awaits. On the other hand, the companies that remain unfocused and uncommitted to true innovation can expect to have their market share eaten by a faster-moving, more innovative, and more aggressive competitor.    

After several years of in-depth analysis, I have found key areas of focus that the fastest growing and widely considered “game changing” companies have in common. Here are a few that stood out:

An Authentic Brand

Today’s home buyers are well informed and crave authenticity in the brands (i.e., both companies and practitioners) with whom they choose to do business. “Canned content” is not something game changing companies use or rely on— ever. You generally won’t see these companies deploying cheesy cartoon videos and hacked together marketing pieces with a faded logo and a 1990’s graphic design. But what you will see coming from these companies is high quality and exceptional authenticity branding.

Millennials, which happen to be the largest segment of homebuyers in American history, are highly sensitive to “marketers” and continue to improve their innate skill of tuning out unwanted messaging and marketing.  

Fresh content with crisp branding that focuses on providing knowledge and education is proven to win both the attention and the loyalty of this massive group of home buyers.

Commitment to Innovation, No Exceptions

The game-changers are constantly focused on innovation, and work hard to establish a solid foundation capable of scaling as the business grows.  This foundation is typically comprised of core systems and applications that have a flexible architecture complete with open API’s. By having the right core systems in place, it is much easier to connect new data sources, iterate rapidly, course correct as changes in the market arise, and capitalize on enhancement opportunities.

Companies that are not focused on rapid growth tend to dip a toe in the water rather than committing to long term innovation.  Game-changers do thorough research, seek out thought leaders and advisors, select the best partners, and go “all in.” They are thinking as much about the business needs of the future as they are about today’s needs.  Therefore, they make long-term decisions and are likely to avoid the “me too” solutions that are popular with the overall market. They are thinking differently— generally much bigger.

Exceptional Employee and Customer Experience

Employee Experience

To deliver the best possible employee experience, great companies focus on removing friction from every touch point, which makes it simple to interact and engage with them. Many of the best companies in the world believe passionately that the single best way to build a great company is to have happy employees with high job satisfaction who believe in the vision of the leadership. While this may seem obvious, it is often far more complex than those simple components. Building a great company with passionate employees demands a more thorough analysis of the techniques utilized in onboarding, training, technology, and communication.

Customer Experience

The post-Uber world has made people hyper-sensitive to anything that does not deliver instant gratification.  By frequently examining all of the engagement points through which a customer interacts with their brand, top companies are continuously able to adjust. They focus on the entire lifecycle of the customer— from lead, to post-close, and then referral and retention.

One of the most effective techniques used to improve employee and customer experiences is creating an initiative where members of the executive team go through all the touch points employees and customers have with the company.  They are asked to document their findings and make a list of necessary improvements. Instead of getting bogged down in months and months of analysis, they make subtle weekly adjustments, which over the course of a year yield major changes.

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From incubating leads and mining databases to nurturing post-close relationships, Joe shares how voice AI is giving loan officers “superpowers” that help scale productivity, improve retention, and focus on delivering the high-value advice consumers need most. With compliance guardrails built in and multiple AI agents on the horizon, this episode offers an inside look at the future of mortgage lending and why early adopters of AI will hold a major competitive edge.

Joe also explains why the human element remains central to homeownership, and how AI is designed not to replace loan officers, but to free them up for more meaningful conversations that strengthen customer trust and drive long-term loyalty.

Catch the conversation to hear how AI is revolutionizing lending and why Joe believes those who embrace it will be tomorrow’s market leaders.

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Total Expert Founder & CEO Joe Welu recently joined Robbie Chrisman for an episode of the Daily Mortgage News podcast where they discussed the current (and future) state of the mortgage industry, challenges facing lenders and loan officers, and the solutions that AI-enabled tools can provide in difficult markets.

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By Pete Karns, Chief Product Officer, Total Expert

AI is no longer a future state—it’s already here, embedded in everything from ride-sharing apps and food service to factories and farms. In the world of financial services, though, this ubiquity comes with pressure to integrate AI fast, appear innovative, and keep up with competitors—all while being mindful of evolving federal and state compliance requirements. Moving fast without a plan or awareness of up and downstream implications often leads to AI-enabled solutions that either underdeliver or don’t deliver at all.

At Total Expert, we’ve taken a different path: thoughtful integration over flashy announcements. As more financial institutions wrestle with what “real AI adoption” should look like, here’s what we’ve learned and what lenders need to consider to get it right.

Where enterprise AI goes wrong

Too many financial services leaders have experienced what I call “AI failure to launch (and scale).” They’ve rushed to try unintegrated AI-enable offerings and bolt on AI tools—often generalist chatbots, white-labeled versions of generative tools, and/or hooking up to MCP servers—without a clear sense of how these tools will solve their business problems or add potential risk. The result? The occasional value-add result. However, what we see more is poor user adoption, wasted spend, and limited impact.

This is the same trap we saw with “digital transformation” a decade ago, or the original horizontal SaaS applications that evolved or were replaced by vertical-specific solutions. AI-enabled solutions offer tremendous, generational promise but they risk becoming vanity-first, value-later tools. We are focused on the former.

AI that thinks and adapts: Welcome to agentic AI

Let’s make one thing clear: not all AI is created equal.  

Chatbots have been commonplace in financial services for a decade now, but remain rigid, rule-based tools that handle repetitive tasks.  I’ve worked with “AI” services for more than 15 years and each had their own place and potential when used properly. Herein lies the opportunity. Modern lenders that are focused on retaining and growing their customers in an ultra-competitive market need something more dynamic. Enter AI agents that can understand context, adapt on the fly, and speak in a human-like way. These agents are coachable, brand-aware, and learn from every interaction. They don’t follow scripts—they think in real time. And when built correctly, they become a seamless part of your customer experience.

This is the evolution from AI as a support function to AI as a trusted team member.

Total Expert recently launched an AI Sales Assistant that puts this principle into action. It functions as a scalable, intelligent teammate—able to engage leads, deliver personalized conversations, and identify high-potential opportunities—all while staying aligned with your brand voice and compliance requirements. It’s not a chatbot bolted onto a CRM—it’s a fully integrated AI-enabled solution, utilizing data, embedding within workflow orchestration, and playing nice with application logic because it has the necessary context to work within your lending ecosystem.

The real “why” behind AI adoption

Before choosing any AI solution, or any technology solution, financial services firms must ask themselves: What business problem are we solving?

For example, when mortgage rates dropped for a few weeks in September 2024, our customer intelligence capabilities identified nearly $2 billion in immediate refinance opportunities. But no team of loan officers could scale quickly enough to reach every qualified lead. That’s where AI tools prove invaluable—automating first-touch outreach at scale, surfacing the best opportunities, and empowering human teams to scale up execution to drive retention and growth.

Why embedded beats bolted-on

The types of AI-enabled solutions we are talking about can’t function effectively in isolation. Without access to timely and accurate customer data, and invoked within a specific workflow process, it can’t personalize interactions, anticipate needs, or drive conversions at the right time.

Picture an AI assistant offering a refinance to a customer, only to stall when asked for more details. If it doesn’t know the customer’s current rate or financial profile, the experience feels hollow. That’s not just ineffective—it damages trust.

By contrast, when AI-enabled solutions are embedded within a unified customer experience platform like Total Expert, it draws on a 360-degree view of the customer. It knows the data, understands the history, and delivers contextually rich conversations that convert.

This is why we’re designing our AI capabilities with a focus on the unique needs of financial services organizations. The same purpose-built approach has earned the Total Expert platform its unmatched reputation for usability and time to value.

Generalist AI offerings can be a gamble that increase costs—and time to value

Implementing AI that’s not purpose-built for financial services introduces two major risks:

1. Usability failure: Your team must spend months customizing and configuring a generalist AI tool to make it work for your specific needs—if it will ever work at all. For example, imagine you’re a loan officer and one of your referral partners introduces you to a borrower. Now, you have to choose the best way to approach the first conversation with this borrower. There are countless permutations of questions and answers which all require deep personalization, compliance awareness, and consistent representation of the sales processes and brand tone of the lender. Generalist AIs will quickly reach their limitations in these complex use cases.

An industry-focused AI offering will be trained on this specific use case and provided with the context needed to hold a dynamic conversation with the borrower. This type of AI learns and adapts with each interaction, performing the most time-consuming tasks so you don’t have to.    

2. Compliance risk: Without built-in industry guardrails, you’re gambling with regulatory violations and brand safety.  As we know, the compliance landscape for financial services is broad and evolving at the federal and state level.  Look for AI offerings that are regulatory aware and enable you to configure them based on your organization’s risk tolerance and interpretations.

Lenders don’t need more tools—they need the right tools—ones that work out of the box, understand industry nuances, and deliver immediate, compliant value.

Ask these questions before you commit to an AI offering  

To maximize the probability of success, here’s a quick checklist for vetting solutions:

  • Can it solve a real, high-value business problem, and how? Review specific examples and ask to speak with other organizations that have implemented the tool.
  • Does it function as a true AI agent, not a static bot?
  • Can it be deeply integrated into your core system(s), workflow orchestration, and data?
  • Does it include financial industry compliance and brand guardrails?
  • Can it scale without sacrificing quality or regulatory integrity?

Building the future with purpose-built AI

Total Expert has always designed technology with financial services in mind, and our approach to utilizing AI is no different. We’re not chasing hype. We’re solving problems.

Our focus on AI isn’t simply building standalone features—it’s about embedded, intelligent, and deeply integrated AI solutions. It’s helping lenders scale smarter, engage more meaningfully, and turn data into action. Our AI Sales Assistant is just the beginning—an example of how purpose-built, AI-enabled solutions can solve real problems and deliver tangible value. We are already testing and exploring other AI-enabled solutions and I could not be more excited about the current and potential value our clients and our market will achieve.

Because when AI works, it’s not just impressive—it’s indispensable.

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